Machine Learning Group

An exciting and potentially far-reaching development in
computer science is the invention and application of methods
of machine learning (ML). These enable a computer program to
automatically analyse a large body of data and decide what
information is most relevant. This crystallised information
can then be used to automatically make predictions or to
help people make decisions faster and more accurately.

Project Objectives

Our objectives are to

make ML techniques generally available;

apply them to practical problems that matter to New Zealand industry;

develop new machine learning algorithms and give them to the world;

contribute to a theoretical framework for the field.

Software

Our team has incorporated several standard ML techniques
into a software "workbench"
called WEKA,
for Waikato Environment for Knowledge Analysis. With it, a
specialist in a particular field is able to use ML to derive
useful knowledge from databases that are far too large to be
analysed by hand. WEKA's users are ML researchers and
industrial scientists, but it is also widely used for
teaching. Recently, our team has also worked
on MOA, an
environment for mining data streams.